The ShanghaiTech dataset [1]} is highly challenging because of its large-scale crowds. It contains 1,198 annotated images with a total number of 330,165 persons. So far the dataset contains the richest annotated crowd information and it is composed of two parts: Part_A with 300 training images and 182 test images, Part_B with 400 training images and 316 test images. Part_A consists of the high-density crowd images downloaded from the internet. Part_B consists of the relatively low-density crowd images collected from Shanghai streets.
